metadata
tags:
- adapterhub:sentiment/amazon
- adapter-transformers
- bert
datasets:
- amazon
Adapter domadapter/ts_dt_apparel_camera_photo for bert-base-uncased
An adapter for the bert-base-uncased model that was trained on the sentiment/amazon dataset and includes a prediction head for classification.
This adapter was created for usage with the adapter-transformers library.
Usage
First, install adapter-transformers:
pip install -U adapter-transformers
Note: adapter-transformers is a fork of transformers that acts as a drop-in replacement with adapter support. More
Now, the adapter can be loaded and activated like this:
from transformers import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("bert-base-uncased")
adapter_name = model.load_adapter("domadapter/ts_dt_apparel_camera_photo", source="hf", set_active=True)